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Senior Machine Learning Engineer
3 months ago
The AI Accelerator team is on a continuous journey towards helping TELUS become a world-class leader in data solutions, doing so by delivering data analytics capabilities built upon unified scalable platforms, advanced AI solutions, high-quality data, and a data-product-oriented culture while always keeping an eye on the horizon, preparing for the next big thing.
We are entrepreneurial and live by our AI Manifesto of failing fast and being outcome vs technology-driven, creating value for our customers, team members, communities, and the environment.
The team takes pride in our Artificial Intelligence and Machine Learning capabilities and takes ownership of each step of the process.
From hypothesis generation, initial exploring of datasets, developing novel AI techniques to discover insights, to developing automation pipelines and web visualizations, we do it allAlways wanted to work with a team of innovators touching all business units within TELUS, and be part of a culture that embraces creativity and collaboration? If so, we'd love to talk with you
You'll be a part of the team and journey that will transform the way we do business across various domains.
You'll collaborate with teams across the company, seeking out various data sources to help identify new business opportunities while championing data-driven decision-making and the accelerated adoption of AI.
As a Senior Machine Learning Engineer on the team, you will combine your expert knowledge of data science with your strong ML Ops and software development skills to automate and facilitate data exploration, analytics, machine learning model development, training and deployment and will leverage your experience in building reusable algorithms, functions and libraries.
What you'll doLead the iterative development, validation, and deployment of AI/ML models
Collaborate on end-to-end automation efforts required to bring models to production
Work with structured and unstructured raw data to design and develop innovative predictive models, metrics, and dashboards to uncover actionable insights
Visualize and report data findings creatively in a variety of visual formats that provide insights to the organization
Influence how we approach business challenges and opportunities by driving the adoption of a data-driven mindset
Develop re-usable code aimed at delivering on future goals faster and more reliably
Support and evolve the Advanced Analytics and Data Science roadmap by leveraging industry research, best practices and emerging tools/technology
Build and maintain a strong engagement with key stakeholders to understand business needs and priorities
Qualifications
What you bring
You are recognized for addressing business needs via your application of data mining and analysis, predictive modeling, statistics and other advanced analytical techniques in which you have previous hands-on work experience
You are sought out for your skills in Machine Learning and AI, including regression, classification, clustering, time series analysis, NLP, and optimization and bring 4+ years of hands-on work and practical business experience in the above areas
You are a master communicator capable of breaking down technical and complex concepts in a way that is understood by non-technical audiences
You have advanced experience with Python and you are comfortable using various data science libraries such as Scikit-learn, Pandas, Numpy as well as frameworks like TensorFlow, Pytorch, Keras and have applied these skills towards solving actual business matters
You are comfortable in and with a Jupyter environment and infrastructure, and familiar with GitHub
You possess strong knowledge in SQL and distributed computing
You are familiar with at least one of the cloud computing platforms - GCP, AWS, Azure
You are well versed in software and AI development lifecycles, including ML Ops
You are agile and have a bias for action, removing roadblocks to get results fast
Great-to-haves
Masters or PhD degree in a quantitative field such as Math, Statistics, Computer Science, Economics, Engineering, or Data Science
Experience with agile methodology and work in a start-up environment
GCP or other cloud certifications
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